Triple
T29214271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armavir, Armenia |
E740623
|
entity |
| Predicate | directionFromYerevan |
P185637
|
FINISHED |
| Object | west |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: west | Statement: [Armavir, Armenia, directionFromYerevan, west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromYerevan Context triple: [Armavir, Armenia, directionFromYerevan, west]
-
A.
distanceFromYerevan_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Yerevan.
-
B.
directionFromBeirut
Indicates the cardinal or relative compass direction in which one entity is located when measured from Beirut.
-
C.
distanceToStepanakert_km
Indicates the physical distance, measured in kilometers, between a given location and Stepanakert.
-
D.
directionFromTehran
Indicates the cardinal or relative compass direction in which one entity is located from Tehran.
-
E.
distanceFromBaku
Indicates the measured distance between a given place or object and the city of Baku.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f7c33d59808190b647989a093f3488 |
completed | May 3, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c29cf36481908e472d4dcb5573b9 |
completed | May 3, 2026, 9:48 p.m. |
Created at: April 28, 2026, 12:12 p.m.